All active Hadoop roles based in Shanghai.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Share this job
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
WHO WE ARE LOOKING FOR:
At The Trade Desk, the Data Science team is responsible for transforming our hundreds of terabytes of Real-Time Bidding (RTB) advertising auction data into actionable intelligence, using advanced modelling and optimization algorithms. Our mission is to develop new and powerful means of growing the value of our client’s campaigns across millions of web-based publishers. Our team believes in innovation that contributes to our product. In this role, you will be a key member in the development of entirely new data products and the improvement of existing ones, all while using world-class machine learning. You will interact primarily with our product, trading, and engineering teams to oversee the implementation of your data products. Your ideas and research will contribute directly to our client facing product.
WHAT YOU WILL BE DOING:
WHAT YOU BRING TO THE TABLE:
NON-TECHNICAL QUALIFICATIONS:
TECHNICAL QUALIFICATIONS:
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskShare this job
What you will be doing:
Key responsibilities
As a Data Engineer Intern, your role will encompass:
● Supporting to conduct ambitious projects in the transformation of clients through data
● Collaborating with the consulting and data team to provide comprehensive services to clients
● Using your technical abilities to assist in the transformation of clients’ marketing department
Among your responsibilities as a Data Engineer Intern, you will be responsible for:
● Help securing delivery on projects with Data Engineer
● Communicating the success of projects among the company
● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
● Ensuring that your solutions are bringing values to the client problematic
● Being a good team player, knowing your role and responsibility in the global ambition
● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech person
● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
● Researching and developing new technical approaches to address problems efficiently
● Sharing best practices and contributing to Artefact’s institutional knowledge
● Embodying Artefact’s values and inspiring others to do the same
● Experience working with Big Data technologies such as Hadoop, Spark, Kafka...
● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
● Being able to adapt your solutions and approaches to technical environment (security, access, tools)
Qualifications :Education and Experience
● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields
● Solid knowledge of computer science, data processing and data architecture
● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
● Skills in Python, Linux, SQL, Spark, Hive
● BigQuery/ Redshift, Devops and Javascript is a plus
Ready to apply?
Apply to ArtefactCookies & analytics
This site uses cookies from third-party services to deliver its features and to analyze traffic.